Merge pull request #291 from dtischler/main

fix links
edgeimpulse · Aug 11, 2023 · 4713b07 · 4713b07
2 parents eb3aa77 + 57fc073
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diff --git a/...zv2l/img1_screenshot Project Versions.png → ...zv2l/img1_screenshot_Project_Versions.png b/...zv2l/img1_screenshot Project Versions.png → ...zv2l/img1_screenshot_Project_Versions.png
diff --git a/.gitbook/assets/monitoring-checkout-lines/img10_screenshot Model testing.jpg b/.gitbook/assets/monitoring-checkout-lines/img10_screenshot Model testing.jpg
diff --git a/...book/assets/monitoring-checkout-lines/img11_screenshot Model testing sample.jpg b/...book/assets/monitoring-checkout-lines/img11_screenshot Model testing sample.jpg
diff --git a/.gitbook/assets/monitoring-checkout-lines/img12_RZ_V2L with camera.JPG b/.gitbook/assets/monitoring-checkout-lines/img12_RZ_V2L with camera.JPG
diff --git a/.gitbook/assets/monitoring-checkout-lines/img13_screenshot Download eim.jpg b/.gitbook/assets/monitoring-checkout-lines/img13_screenshot Download eim.jpg
diff --git a/.gitbook/assets/monitoring-checkout-lines/img14_screenshot Linux-runner eim.jpg b/.gitbook/assets/monitoring-checkout-lines/img14_screenshot Linux-runner eim.jpg
diff --git a/.gitbook/assets/monitoring-checkout-lines/img15_test image.jpg b/.gitbook/assets/monitoring-checkout-lines/img15_test image.jpg
diff --git a/.gitbook/assets/monitoring-checkout-lines/img16_regions of interest.jpg b/.gitbook/assets/monitoring-checkout-lines/img16_regions of interest.jpg
diff --git a/.gitbook/assets/monitoring-checkout-lines/img17_deploying the application.jpg b/.gitbook/assets/monitoring-checkout-lines/img17_deploying the application.jpg
diff --git a/.gitbook/assets/monitoring-checkout-lines/img18_deploying the application gif.gif b/.gitbook/assets/monitoring-checkout-lines/img18_deploying the application gif.gif
diff --git a/...ok/assets/monitoring-checkout-lines/img19_screenshot linux runner on RZ_V2L.jpg b/...ok/assets/monitoring-checkout-lines/img19_screenshot linux runner on RZ_V2L.jpg
diff --git a/.gitbook/assets/monitoring-checkout-lines/img1_screenshot Project Versions.jpg b/.gitbook/assets/monitoring-checkout-lines/img1_screenshot Project Versions.jpg
diff --git a/...k/assets/monitoring-checkout-lines/img20_screenshot2 linux runner on RZ_V2L.jpg b/...k/assets/monitoring-checkout-lines/img20_screenshot2 linux runner on RZ_V2L.jpg
diff --git a/.gitbook/assets/monitoring-checkout-lines/img2_screenshot MobileNetV2 Testing.jpg b/.gitbook/assets/monitoring-checkout-lines/img2_screenshot MobileNetV2 Testing.jpg
diff --git a/.gitbook/assets/monitoring-checkout-lines/img3_screenshot Training data.jpg b/.gitbook/assets/monitoring-checkout-lines/img3_screenshot Training data.jpg
diff --git a/.gitbook/assets/monitoring-checkout-lines/img4_screenshot Testing data.jpg b/.gitbook/assets/monitoring-checkout-lines/img4_screenshot Testing data.jpg
diff --git a/.../assets/monitoring-checkout-lines/img5_screenshot Yolov5 assisted Labelling.jpg b/.../assets/monitoring-checkout-lines/img5_screenshot Yolov5 assisted Labelling.jpg
diff --git a/.gitbook/assets/monitoring-checkout-lines/img6_screenshot Impulse Design.jpg b/.gitbook/assets/monitoring-checkout-lines/img6_screenshot Impulse Design.jpg
diff --git a/.gitbook/assets/monitoring-checkout-lines/img7_screenshot Features.jpg b/.gitbook/assets/monitoring-checkout-lines/img7_screenshot Features.jpg
diff --git a/.gitbook/assets/monitoring-checkout-lines/img8_screenshot Choosing a model.jpg b/.gitbook/assets/monitoring-checkout-lines/img8_screenshot Choosing a model.jpg
diff --git a/.gitbook/assets/monitoring-checkout-lines/img9_screenshot Training model.jpg b/.gitbook/assets/monitoring-checkout-lines/img9_screenshot Training model.jpg
diff --git a/air-quality-monitoring-sipeed-longan-nano-riscv.md b/air-quality-monitoring-sipeed-longan-nano-riscv.md
diff --git a/archived/monitoring-checkout-lines.md b/archived/monitoring-checkout-lines.md
diff --git a/arduino-portenta-h7-self-driving-rc-car.md b/arduino-portenta-h7-self-driving-rc-car.md
@@ -48,15 +48,15 @@ Have fun with the RC car: Without breaking it, charge the battery and drive it a
 
 ### 3. Find Objects to Track
 
-To train your model, you need to find objects to track. You can use double-sided black circles on photocopy paper and cut them out. Here is a [printable version you can use](../media/eyes-pdf.pdf)
+To train your model, you need to find objects to track. You can use double-sided black circles on photocopy paper and cut them out. Here is a [printable version you can use](.gitbook/assets/arduino-portenta-h7-self-driving-rc-car/eyes-pdf.pdf)
 
 ![](.gitbook/assets/arduino-portenta-h7-self-driving-rc-car/eyes.png)
 
 ### 4. Build the Frame
 
 ![](.gitbook/assets/arduino-portenta-h7-self-driving-rc-car/framepng.png)
 
-3D print the car frame [using the provided STL file](../media/rc-Car-frame28-22degrees-V28-22-degrees.stl) or these smaller prints [Frame Front](../media/rc-Car-frame27-bread-front.stl) and [Frame Back](../media/rc-Car-frame27-bread-back.stl), or make your own with wood or cardboard. Make sure to attach the Portenta H7 with LoRa vision shield on the car (check the image to see which way the Portenta is oriented with the USB cable. The USB cable should protrude to the right of the car) along with a USB-C cable with a battery pack, and attach it to the car while it still has the RC components working. This allows you to drive the car while taking lots of images on the SD card. You will need [this Arduino program](https://github.com/hpssjellis/portenta-pro-community-solutions/blob/main/examples/dot3-portenta-vision-shields/dot36-camera-png-to-web/dot362-png-to-sd-card/dot362-png-to-sd-card.ino) flashed to the board for data collection. Note line 75 `int myDelay = 10000;` sets a variable to take an image every 10 seconds. Change that number to about 500 to take lots of .PNG pictures. Depending on how well the Portenta SD Card fits you might get several bad photos. An easy solution is to just take many more photos. You might want to attach sunglasses in front of the camera if reflections are a problem when using the car inside.
+3D print the car frame [using the provided STL file](.gitbook/assets/arduino-portenta-h7-self-driving-rc-car/rc-Car-frame28-22degrees-V28-22-degrees.stl) or these smaller prints [Frame Front](.gitbook/assets/arduino-portenta-h7-self-driving-rc-car/rc-Car-frame27-bread-front.stl) and [Frame Back](.gitbook/assets/arduino-portenta-h7-self-driving-rc-car/rc-Car-frame27-bread-back.stl), or make your own with wood or cardboard. Make sure to attach the Portenta H7 with LoRa vision shield on the car (check the image to see which way the Portenta is oriented with the USB cable. The USB cable should protrude to the right of the car) along with a USB-C cable with a battery pack, and attach it to the car while it still has the RC components working. This allows you to drive the car while taking lots of images on the SD card. You will need [this Arduino program](https://github.com/hpssjellis/portenta-pro-community-solutions/blob/main/examples/dot3-portenta-vision-shields/dot36-camera-png-to-web/dot362-png-to-sd-card/dot362-png-to-sd-card.ino) flashed to the board for data collection. Note line 75 `int myDelay = 10000;` sets a variable to take an image every 10 seconds. Change that number to about 500 to take lots of .PNG pictures. Depending on how well the Portenta SD Card fits you might get several bad photos. An easy solution is to just take many more photos. You might want to attach sunglasses in front of the camera if reflections are a problem when using the car inside.
 
 ### 5. Train the Model
 

diff --git a/audio-recognition-on-silabs-xg24.md b/audio-recognition-on-silabs-xg24.md
@@ -46,7 +46,7 @@ This action will copy all the collected data, generated features, and model para
 
 Now if you navigate to "Create impulse" from the left menu, you will see how the model was created originally.
 
-![](.gitbook/assets/audio-recognition-on-silabs-xg24/edge_impulse_design.png)
+![](.gitbook/assets/audio-recognition-on-silabs-xg24/edge_impulse_design.jpg)
 
 As you can see, the model was created based on audio data sampled at 16KhZ. As mentioned, because the audio microphones used on the both board boards are the same, we're not required to collect any additional data from the new board.